Moving Objects Extraction by Watershed Algorithm Using Topographic Map with Energy Minimization Term

• IMAMURA Kousuke

  School of Electrical and Computer Engineering, College of Science and Engineering, Kanazawa University

• HASHIMOTO Hideo

  School of Electrical and Computer Engineering, College of Science and Engineering, Kanazawa University

Bibliographic Information

Other Title

• エネルギー最小化項を組み込んだ地形図を用いたWatershedアルゴリズムによる動オブジェクト抽出
• エネルギー サイショウカコウ オ クミコンダ チケイズ オ モチイタ Watershed アルゴリズム ニ ヨル ドウ オブジェクト チュウシュツ

Abstract

Extraction of semantic moving objects from video sequence is an indispensable tool that benefits newly developed image processing schemes. In the present paper, we propose a new technique that extracts shapes of moving objects by combining SNAKES and Watershed algorithm. The proposed method comprises two steps. In the first step, SNAKES extract contours of moving objects as a result of the minimization of an energy function. In the second step, the conditional Watershed algorithm extracts contours of moving objects from a topographical surface including a new function term. This function term is introduced to improve the estimated contours considering boundaries of moving objects obtained by SNAKES. The efficiency of the proposed approach in moving object extraction is demonstrated through computer simulations.

Journal

• The Journal of the Institute of Image Electronics Engineers of Japan

  The Journal of the Institute of Image Electronics Engineers of Japan 39 (2), 148-155, 2010

  The Institute of Image Electronics Engineers of Japan

Keywords

• Moving Object Extraction
• Watershed Algorithm
• Active Contour Model

Details

• CRID: 1390282679587228416
• NII Article ID: 10026205191
• NII Book ID: AN00041650
• DOI: 10.11371/iieej.39.148
• ISSN: 13480316
• ISSN: 02859831
• NDL BIB ID: 10682464
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10682464
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed